Literature DB >> 25516245

Research on self-purification capacity of Lake Taihu.

Tao Han1, Hongju Zhang, Weiping Hu, Jiancai Deng, Qinqin Li, Guie Zhu.   

Abstract

An effective measure to cope with eutrophication of lakes is to remove nutrients that can cause algal blooming by taking advantage of natural water purification processes. Here, the term "purification" is defined, in a wide sense, as the potential role of a water body to contribute to the reduction of pollutants and thus controlling eutrophication. Also regarded as a kind of ecological regulating services, biological purification involves various processes concerning seasonal nutrient fixation, such as uptake by aquatic macrophyte, biofouling onto foliage substrates, feeding by organisms in higher trophic level, and eternal loss or removal of substance from the water. In order to evaluate the water purification ability, a numerical lake ecosystem model (EcoTaihu) was developed and applied to Lakes Taihu. The model includes the biological interactions between pelagic compartments (phytoplankton and zooplankton, detritus, dissolved organic matter, fish, and nutrients). Under dynamic forcing of meteorological and hydrological parameters, the model was run over years to evaluate the annual nutrient cycles and purification functions. The reproducibility of the model was validated for water body by comparison with the field data from the water quality monitoring campaign. Numerical results revealed that self-purification capacity of nitrogen of Lake Taihu in years 2006, 2008, and 2010 is 4.00 × 10(4), 4.27 × 10(4), and 4.11 × 10(4) ton, respectively, whereas self-purification capacity of phosphorus of Lake Taihu in years 2006, 2008, and 2010 is 1.56 × 10(3), 1.80 × 10(3), and 1.71 × 10(3) ton, respectively.

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Year:  2014        PMID: 25516245     DOI: 10.1007/s11356-014-3920-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  5 in total

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3.  [Nitrogenous fluxes and its self-purification capacity in Lake Taihu].

Authors:  Xiao-Feng Chen; Xiao-Ming Chuai; Jin Zeng; Tao Liu; Liu-Yan Yang
Journal:  Huan Jing Ke Xue       Date:  2012-07

4.  The light: nutrient ratio in lakes: the balance of energy and materials affects ecosystem structure and process.

Authors:  R W Sterner; J J Elser; E J Fee; S J Guildford; T H Chrzanowski
Journal:  Am Nat       Date:  1997-12       Impact factor: 3.926

5.  Distribution and bioaccumulation of microcystins in water columns: a systematic investigation into the environmental fate and the risks associated with microcystins in Meiliang Bay, Lake Taihu.

Authors:  Lirong Song; Wei Chen; Liang Peng; Neng Wan; Nanqin Gan; Xiaoming Zhang
Journal:  Water Res       Date:  2007-05-29       Impact factor: 11.236

  5 in total
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Journal:  Environ Sci Pollut Res Int       Date:  2016-04-04       Impact factor: 4.223

2.  Identifying external nutrient reduction requirements and potential in the hypereutrophic Lake Taihu Basin, China.

Authors:  Jiao-Ting Peng; Xiao-Dong Zhu; Xiang Sun; Xiao-Wei Song
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-29       Impact factor: 4.223

3.  Assessment of a Multifunctional River Using Fuzzy Comprehensive Evaluation Model in Xiaoqing River, Eastern China.

Authors:  Yongfei Fu; Yuyu Liu; Shiguo Xu; Zhenghe Xu
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

  3 in total

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